Package: GGRidge 1.1.0

Saeed Aldahmani

GGRidge: Graphical Group Ridge

The Graphical Group Ridge 'GGRidge' package package classifies ridge regression predictors in disjoint groups of conditionally correlated variables and derives different penalties (shrinkage parameters) for these groups of predictors. It combines the ridge regression method with the graphical model for high-dimensional data (i.e. the number of predictors exceeds the number of cases) or ill-conditioned data (e.g. in the presence of multicollinearity among predictors). The package reduces the mean square errors and the extent of over-shrinking of predictors as compared to the ridge method.Aldahmani, S. and Zoubeidi, T. (2020) <doi:10.1080/00949655.2020.1803320>.

Authors:Saeed Aldahmani [aut, cre, cph], Taoufik Zoubeidi [ths]

GGRidge_1.1.0.tar.gz
GGRidge_1.1.0.tar.gz(r-4.5-noble)GGRidge_1.1.0.tar.gz(r-4.4-noble)
GGRidge_1.1.0.tgz(r-4.4-emscripten)GGRidge_1.1.0.tgz(r-4.3-emscripten)
GGRidge.pdf |GGRidge.html✨
GGRidge/json (API)

# Install 'GGRidge' in R:
install.packages('GGRidge', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 651 downloads 1 exports 43 dependencies

Last updated 1 years agofrom:7f9393e06c. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-linuxOKOct 30 2024

Exports:GGRidge

Dependencies:clicodetoolscolorspacecpp11CVglassodoParalleldplyrfansifarverforeachgenericsggplot2glassogluegRbasegtableigraphisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadilloRcppEigenrlangscalestibbletidyselectutf8vctrsviridisLitewithr